Software Engineer · Data Scientist
M.S. Information Systems · AI-driven Project Manager
I design and ship software used in healthcare, housing, and community products. M.S. in Information Systems from Pace University, with 6+ years building full-stack systems, mobile apps, and AI-enabled platforms.
I'm a software engineer with an M.S. in Information Systems from Pace University and 6+ years of experience in full-stack development, cloud solutions, and mobile applications. I build scalable systems with Java, C#, PHP, Python, React, and React Native.
My graduate work focused on data science and data-driven problem solving. I apply that to products that need to work in the real world, from AI-assisted care platforms to full-stack applications used by thousands of people.
My experience includes leading development teams, optimizing system performance, and building applications that serve thousands of users. I believe in writing clean, maintainable code and continuously learning new technologies.
Contributing to meaningful projects
Creating intuitive interfaces
Optimizing for speed and efficiency
Working with diverse teams
My academic journey and professional certifications that have shaped my expertise
Concentration in Data Science. Graduate studies in data mining, big data systems, and information systems architecture.
Focused on Software Development, Web Technologies, and System Design. Gained strong foundation in programming, software architecture, and database management.
Amazon Web Services
Pace University
Professional Experience
React Native
Always learning and expanding my knowledge through continuous education
Let's Discuss OpportunitiesMy professional journey in software engineering with 6+ years of experience
Engineered backend services using C# and built frontend interfaces with React.js, ensuring seamless system integration. Led peer code reviews and established technical leadership on microfinance management software development.
Led system design by analyzing project requirements and creating detailed use cases, sequence diagrams, and class diagrams. Developed cross-platform mobile and web applications serving over 2,000 active users.
A collection of projects that showcase my skills and passion for creating innovative solutions
2025 – Present
2025 – Present
Aug 2018 – Dec 2019
Research papers and academic contributions in software engineering and technology
The rising demand for elder care is creating significant challenges for Adult Family Homes (AFH), many of which rely on outdated, labor-intensive manual systems that limit efficiency and compromise resident safety. This paper introduces WakSense, an innovative AI and IoT-enabled platform specifically designed to address the operational, regulatory, and caregiving needs of AFH. WakSense enables real-time monitoring of residents, intelligent medication management, automated care routines, and a digital framework for creating, tracking, and updating Negotiated Care Plans (NCP). The platform also provides advanced caregiver support through job matching, recruitment modules, and tools that assist families in selecting the most appropriate AFH for their loved ones. This study details the system’s technical architecture, identifies current market and workflow gaps, and outlines practical implementation strategies aimed at modernizing care delivery, improving resident safety, and reducing caregiver workload, while promoting greater operational efficiency and compliance across AFH.
Motorists may be trained to drive but may forget (if not ignore) to follow road rules. As a consequence, this leads to road accidents. Road accidents contribute a great percentage to the world total fatalities. These accidents are caused mostly by reckless driving through over speeding, wrong overtaking, and wrong parking. On Ugandan roads, there are specific places marked as black-spots due to the number of accidents that have happened in such places and likely to happen in future if care is not taken. An enhanced traffic monitoring system is key to enforcing traffic rules and hence preventing road accidents. In this paper, we describe the architecture and the Implementation of Blackspot Traffic Monitoring system (BSTMS). The BSTMS relies on tensorflow machine learning library to analyze video streams of moving cars. The BSTMS consists of IP cameras configured to capture video streams from the road, and the BSTMS server which analyses each stream for traffic offenses, records a photo evidence of the offense and communicates with the database where users can access processed data. This system is developed at a Ugandan perspective. Keywords: Traffic Monitoring System, enforcing traffic rules
Technical insights, tutorials, and thoughts on software engineering
Learn how to design and implement scalable microservices architecture using Spring Boot, Docker, and Kubernetes. This comprehensive guide covers best practices, patterns, and real-world examples.
Discover advanced techniques to optimize React application performance, including code splitting, lazy loading, memoization, and virtual DOM optimization strategies.
A practical guide to deploying machine learning models in production environments, covering MLOps, model monitoring, and scaling strategies.
Exploring emerging trends in web development, from WebAssembly and Edge Computing to AI-powered development tools and the evolution of frameworks.
Essential database design patterns and strategies for building high-scale applications, including sharding, replication, and caching techniques.
Step-by-step guide to setting up a robust CI/CD pipeline using GitHub Actions, including testing, building, and deployment automation.
Get notified when I publish new articles about software engineering, technology trends, and best practices.
Hackathons, competitions, and innovation events
Designed and implemented a prototype app addressing city challenges, achieving recognition among top participants. Conducted research and ideation sessions to refine solutions, improving functionality and user experience.
Let's discuss your next project or just say hello. I'm always open to new opportunities and collaborations.
I'm always interested in hearing about new projects and opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!
